Swarm AI Research
Official@swarm-ai-research
Offers specialized multi-agent simulation, market intelligence, and repository governance for decentralized research and technical fleet management.
Agent Skills by Swarm AI Research
Showing 189 vetted skills indexed across 2 GitHub repositories.
swarm-ai-researchswarm
Measure emergent failures in multi-agent systems using Python.
swarm-ai-researchstatistical-analysis
Analyze SWARM experimental data with hypothesis tests and multiple-comparison corrections.
swarm-ai-researchplotting
Create bar charts, box plots, and time-series plots from SWARM simulation data.
swarm-ai-researchparameter-sweep
Automate parameter grid sweeps across SWARM safety scenarios and generate summary statistics.
swarm-ai-researchrun-scenario
Execute predefined SWARM simulation scenarios and export standardized results.
swarm-ai-researchpaper-writing
Generate markdown research paper skeletons from SWARM experiment data.
swarm-ai-researchregression-check
Compare AI agent simulation metrics against a baseline to identify deviations.
swarm-ai-researchverify
Run integrity checks on vault schema, evidence, links, index, and claims.
swarm-ai-researchsession-close
Summarize research work, update memory logs, commit changes, and push to version control.
swarm-ai-researchrun-query
Query the run index and vault for experiment history by tags, dates, types, or claims.
swarm-ai-researchkb-query
Query a structured SWARM knowledge graph for related pages, backlinks, and paths.
swarm-ai-researchvault-init
Initialize and extend SWARM Research OS vaults with directories and schema templates.
swarm-ai-researchsanity-check
Validate multi-agent system scenarios with minimal seeds and epochs.
swarm-ai-researchexperiment-loop
Automate multi-agent experiment design, execution, and result synthesis.
swarm-ai-researchclaim
Create and analyze structured claim cards with evidence and confidence assessments.
swarm-ai-researchsynthesize
Synthesize SWARM run data into structured notes with claim analysis.
swarm-ai-research[REPLACE: SKILL_NAME]
Aggregates daily X and Reddit mentions into sentiment-scored top-post digests and alerts.
swarm-ai-researchChannel Recap
Rank Telegram posts by engagement and compose a themed weekly recap in Markdown.
swarm-ai-researchSecurity Digest
Prioritize CVEs and advisories into ranked patch plans using KEV, EPSS, and CVSS signals.
swarm-ai-researchAI Framework Watch
Track momentum, releases, and breaking changes for nine AI agent frameworks.
swarm-ai-researchDaily Routine
Aggregate token movers, tweets, papers, GitHub issues, and HN digest into a daily briefing.
swarm-ai-researchrepo-actions
Generate five anchored repo-action ideas with priorities and definitions of done.
swarm-ai-researchVibecoding Digest
Summarize high-signal r/vibecoding Reddit posts into a ranked digest.
swarm-ai-researchRSS Digest
Aggregate fresh RSS feed items and generate concise summaries.
Frequently Asked Questions About Swarm AI Research
FAQPage SchemaWhat specific tasks can I perform with these research capabilities?▼
You can execute multi-agent simulation scenarios, perform statistical analysis on experimental data, monitor prediction markets, track GitHub repository momentum, and generate structured research reports or technical explainers from aggregated web signals.
Who is the target persona for these research systems?▼
The target personas are research engineers, decentralized protocol operators, and technical leads managing multi-agent fleets who require rigorous, data-driven oversight of repository health, market volatility, and emergent system behaviors.
What are the prerequisites for running these research instances?▼
Deployment requires an Aeon-compatible environment, a configured aeon.yml manifest, and access to the relevant GitHub repositories or data sources defined in your specific research vault schema.